Distributed autonomous elements like sensors networks, intelligent devices etc. are nowadays widely used. Here, one of the most difficult task is the automatic re-planning when something goes wrong: new planning algorithms have to be coped with existing ones in order to fulfill performance and soundness requirements. In this work we present a modelling methodology and a planning technique based on multi-Agent models. The planning methodology exploits both classical and a new counter-example based approaches in order to build an effective multi-expert system able to face with increasing complexity of these systems, implementing procedures that make possible the reaching of desired goals within temporal constraints.

An Agent-Based Model for Autonomous Planning

MOSCATO, Francesco
2016

Abstract

Distributed autonomous elements like sensors networks, intelligent devices etc. are nowadays widely used. Here, one of the most difficult task is the automatic re-planning when something goes wrong: new planning algorithms have to be coped with existing ones in order to fulfill performance and soundness requirements. In this work we present a modelling methodology and a planning technique based on multi-Agent models. The planning methodology exploits both classical and a new counter-example based approaches in order to build an effective multi-expert system able to face with increasing complexity of these systems, implementing procedures that make possible the reaching of desired goals within temporal constraints.
2016
9781509009879
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4782522
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